Daily Archives: December 18, 2025

Authors: Savita P. Deore, Shubham B. Gaikwad, Bhagyashri N. Gosavi, Siddhi N. Bagmar

Abstract: During combat, land mine detection is crucial, especially for the secure entry of armed vehicles into hostile territory. To reduce the chance of combat tank damage and to save the lives of defense troops, these armed vehicles including main battle tanks—are made to follow the path of a manually piloted pilot tank. The main goal of our landmine detection Within the defense zone, the robotic vehicle seeks to detect landmines over the largest feasible area. Landmine explosions have the potential to seriously hurt soldiers and release dangerous pollutants into the environment. In conflictare as, robots are typically used to detect these hazards before they explode. Landmine-detecting robots are crucial in this situation to protect military personnel's lives.

DOI: https://doi.org/10.5281/zenodo.17976700

Published by: vikaspatanker

Authors: Rasika M. Chandramore, Awishkar Gawli, Harshada Gaikwad, Niraj Khankar, Ketan Thorat

Abstract: The Task of Prosthetic Hand with It fixates on the development of a cost-efficacious prosthetic arm controlled utilizing ROS2 (Robot Operating System 2) and Arduino Uno, designed to renovate rudimental hand functionalities for individuals with upper limb disabilities. The prosthetic arm employs five servo motors, each corresponding to an individual finger, to facilitate natural and precise hand forms of kineticism. The control system is built around ROS2 nodes that handle authentic-time communication and command execution. Commands are transmitted to the Arduino Uno, which engenders PWM (Pulse Width Modulation) signals to drive the servo motors. The hardware-software interface is implemented utilizing the Arduino IDE, with ROS2 providing a scalable framework for future enhancements. This modular and open-source approach ascertains that supplemental features, such as amended control algorithms and sensory feedback, can be incorporated in subsequent iterations. The prosthetic arm has been calibrated to perform essential tasks, such as prehending, holding, and relinquishing objects, demonstrating its potential as a practical assistive contrivance. It designate prosperous replication of rudimentary hand gestures with reliable motor performance and authentic-time responsiveness. The affordability and adaptability of the design make it a promising solution in the field of assistive technology. Future ameliorations may fixate on integrating haptic feedback and optimizing power consumption.

DOI: https://doi.org/10.5281/zenodo.17976653

Published by: vikaspatanker

Authors: Dwarkesh A. Saykhedkar, Ajit S. Pawar, Nikhil S. Kothawal, Abhilash A.Netake

Abstract: The concept of metaverse represents an innovative change in digital interaction by combining virtual reality and expanded reality with a common experience. There is an integrated virtual common space created by combining virtually expanded physical reality with normal physical virtual reality. This content examines various aspects of metaverse, including underlying technologies (such as blockchain and AI) and applications in a variety of fields such as entertainment, education and business. It also examines the possibilities of new social and business forms, such as issues of privacy and digital justice, and the impact of businesses on society. A combination of findings from research and practice should provide this content with a better understanding of the impact of metabar on future digital ecosystems and community interventions. This is a rapidly evolving digital limit that transforms physical and virtual reality into an immersive, interactive, and persistent environment. For progress in Virtual Reality ( VR), Augmented Reality (AR), Blockchain and Artificial Intelligence (AI), users can create contacts, work, play and handles in the 3D room. It promises transformative impacts in a variety of sectors, including education, healthcare, entertainment, real estate, and long-distance work. This article examines the fundamental technologies behind metaverse, their potential socioeconomic implications, privacy, data security, digital identity and interoperability challenges. Metaverse can still interact with digital systems and cooperation during the development stage, but it shows the next important development in the use of the Internet.

DOI: https://doi.org/10.5281/zenodo.17976583

Published by: vikaspatanker

Authors: Patil Prashant Shivajirao, Thakare Abhijit M, Manoj R Avhad, Patil Sachin Sopan

Abstract: Low cost water treatment devices for rural households like filters, RO and UV based water purifiers are developed by many industries but these devices suffer from problems like filter clogging, periodic replacement of filters, wastage of water (in case of RO) and unavailability of electricity in rural areas making them costlier. Due to above reason RO, UV purifier are not affordable to rural areas. The objective of our project is to deal with improvisation in existing filter design and remove the flaws in existing filtration models at economical level. The study deals with the purification of water using naturally available material using copper mesh as a disinfectant and provide effective and economical water purifier for rural area. Earthen pots are used for the purification of water made from different proportions of Clay and Saw dust (50:50, 60:40, 70:30). Lake and well water was treated as it is normally used in rural areas. Various drinking water test carried on samples before and after the treatment of water showed that the filters were capable to treat water as per the drinking water standards. Maximum turbidity and TDS was removed in 1st model (50:50) up to 89% and 72.35% respectively for lake water and 78% and 67.47% respectively for well water As copper was used as a disinfectant, no trace of E-coli was found in the treated water for all three models. The results showed that Pot Filter (50:50 model) can be effectively used as a low cost filtration device in rural areas.

DOI: http://doi.org/10.5281/zenodo.17976521

Published by: vikaspatanker

Authors: R.T. Jagtap, Dr. Pavan N. Ghumare, I. J. Bathe, V.S. Wagh

Abstract: The stability of strip foundations situated at naturally occurring site conditions, particularly in proximity to soil slopes characterized by low bearing capacity, constitutes a significant challenge for engineers. The current investigation elucidates the behavior of strip foundations positioned adjacent to soil slopes composed of soft soil with inadequate bearing capacity. Among the various methodologies employed for assessing soil stability, the implementation of micro piles is utilized to enhance the load-bearing capacity of the foundation and improve the soil's bearing capacity in the immediate vicinity of the foundation. Utilizing the finite element software Plaxis 2D, the interaction between the strip footing and the earth slope can be quantified across multiple parameters, including horizontal displacements, vertical displacements, and effective stresses.

DOI: http://doi.org/10.5281/zenodo.17976445

Published by: vikaspatanker

Authors: S. D. Phad, M. C. Aher

Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known as Fuzzy theory enhances the risk management process. This approach not only addresses the challenges posed by inaccurate data but also provides a structured methodology for drawing conclusions. The application of Fuzzy theory is exemplified through a risk assessment of an ongoing residential construction project. By employing a systematic fuzzy model, expert judgment values are transformed into precise metrics. This paper focuses on the application of fuzzy logic models within the construction sector and highlights the benefits of this approach compared to traditional risk assessment methods.

DOI: http://doi.org/10.5281/zenodo.17976370

Published by: vikaspatanker

Authors: V. R. Deshmukh, S. M. Waysal

Abstract: The recruitment of skilled labor in the construction sector has consistently posed significant challenges. There exists a notable disparity between the high demand for specific labor skills from employers and the limited availability of such skills within the local construction workforce. This imbalance results in skill shortages that adversely affect construction projects, leading to issues such as substandard workmanship, diminished efficiency, reduced effectiveness, project delays, defects, the need for rework, material wastage, increased costs, and postponed project completions. This study presents a comprehensive analysis of the current labor skills and shortages within the construction market. It identifies the underlying factors contributing to these shortages and ranks them based on the opinions of respondents, thereby highlighting the significance of these factors. Furthermore, it aims to enhance awareness regarding professional skills in the industry and offers recommendations for their improvement to benefit the market. The unprecedented economic growth accompanied by widespread urbanization along with foreign direct investment has fueled a demand for skilled workers in India. The task of workforce development in India faces the changing realities of globalization and competitiveness, on one hand, and the need for inclusive growth on the other.

DOI: https://doi.org/10.5281/zenodo.17976315

Published by: vikaspatanker

Authors: Siddhi Pawar, Anuradha Raut, Tanuja Suryawanshi, Shravani Wadghare

Abstract: Gesture-controlled interfaces have emerged as an intuitive alternative to conventional touch and voice-based music control. Gesture recognition is becoming more and more popular for hands-free media interaction thanks to developments in computer vision and machine learning. This study describes a gesture-controlled music player system that can control media features like play, pause, next/previous track, and volume adjustment by interpreting real-time hand gestures. The project aims to deliver a touchless user experience, offering intuitive control of digital media via simple hand movements detected through a webcam.

Published by: vikaspatanker

Authors: Ms. Archana Bharti, Mr. Aashish

Abstract: This paper analyses Bihar’s economic growth trajectory during 2010–2025, with a focus on structural transformation across agriculture, industry, and services, and the constraints limiting the state’s development potential. Using data from the Bihar Economic Survey (2024–25), Government of India publications, India Brand Equity Foundation (IBEF), the Confederation of Indian Industry (CII) Vision Report (2024), and other secondary sources, the study finds that Bihar’s nominal Gross State Domestic Product (GSDP) expanded by more than 3.5 times over the past decade. However, despite this growth, the state continues to lag behind the national average in terms of per capita income, industrialisation, employment diversification, infrastructure development, and human development indicators. Inter-state comparisons and district-level analysis reveal significant regional disparities and uneven sectoral growth, reflecting structural imbalances within the economy. The paper identifies key bottlenecks related to industrial policy, investment climate, human capital formation, and agricultural productivity, and highlights policy levers necessary for achieving inclusive, sustainable, and broad-based economic transformation in Bihar.

DOI: http://doi.org/10.5281/zenodo.17975524

Published by: vikaspatanker

Authors: Akshay Jajpuriya, Dr. Vandan Tewari

Abstract: Occurrence of imbalanced classes in a dataset is one of the major issues in machine learning, as such datasets often yield biased models in favor of the majority classes in- stead of the minority ones. This paper discusses several tech- niques developed by previous researchers that help manage imbalanced datasets. This paper offers a study of resampling strategies aimed at balancing the distribution of classes using techniques such as oversampling, undersampling, and hybrid approaches. The main goal is to help researchers and prac- titioners choose appropriate strategies based on dataset char- acteristics and model requirements. By highlighting trends and real world applications, this survey serves as a guide for effectively tackling data imbalance problem.

DOI: http://doi.org/10.5281/zenodo.17975684

Published by: vikaspatanker